Generating views of medical images
a technology of medical images and views, applied in the field of generating views of medical images, can solve the problems of time-consuming steps and manual generation of views, and achieve the effect of reducing the number of steps and reducing the cost of manual generation
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[0037]For a given patient, based on the patient's data, in particular acquired medical image data sets and one or more initial hypotheses of a disease or diagnosis, the radiologist has to confirm or reject the hypotheses to derive a differential diagnosis. To this end, he maps a hypothesis to hypothesis-specific image findings that would confirm or reject such a hypothesis. If the clinician is able to demonstrate such an image finding, he may confirm the hypothesis, otherwise he may reject the hypothesis. Alternatively, the capability to demonstrate the presence of particular image findings may be part of a process of diagnosing a patient. To confirm or reject the presence of an image finding, the clinician generates appropriate views of the patient's data, and identifies the findings in the views. The generation of views of the patient data to verify image findings supporting or rejecting a given hypothesis is a time-consuming, largely manual process performed by the radiologist / do...
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